{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fancy-dryer",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "prompt-gambling",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入星巴克店的数据\n",
    "starbucks = pd.read_csv(\"./data/starbucks.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "native-entity",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Brand</th>\n",
       "      <th>Store Number</th>\n",
       "      <th>Store Name</th>\n",
       "      <th>Ownership Type</th>\n",
       "      <th>Street Address</th>\n",
       "      <th>City</th>\n",
       "      <th>State/Province</th>\n",
       "      <th>Country</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Phone Number</th>\n",
       "      <th>Timezone</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Starbucks</td>\n",
       "      <td>47370-257954</td>\n",
       "      <td>Meritxell, 96</td>\n",
       "      <td>Licensed</td>\n",
       "      <td>Av. Meritxell, 96</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>7</td>\n",
       "      <td>AD</td>\n",
       "      <td>AD500</td>\n",
       "      <td>376818720</td>\n",
       "      <td>GMT+1:00 Europe/Andorra</td>\n",
       "      <td>1.53</td>\n",
       "      <td>42.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Starbucks</td>\n",
       "      <td>22331-212325</td>\n",
       "      <td>Ajman Drive Thru</td>\n",
       "      <td>Licensed</td>\n",
       "      <td>1 Street 69, Al Jarf</td>\n",
       "      <td>Ajman</td>\n",
       "      <td>AJ</td>\n",
       "      <td>AE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GMT+04:00 Asia/Dubai</td>\n",
       "      <td>55.47</td>\n",
       "      <td>25.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Starbucks</td>\n",
       "      <td>47089-256771</td>\n",
       "      <td>Dana Mall</td>\n",
       "      <td>Licensed</td>\n",
       "      <td>Sheikh Khalifa Bin Zayed St.</td>\n",
       "      <td>Ajman</td>\n",
       "      <td>AJ</td>\n",
       "      <td>AE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GMT+04:00 Asia/Dubai</td>\n",
       "      <td>55.47</td>\n",
       "      <td>25.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Starbucks</td>\n",
       "      <td>22126-218024</td>\n",
       "      <td>Twofour 54</td>\n",
       "      <td>Licensed</td>\n",
       "      <td>Al Salam Street</td>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>AZ</td>\n",
       "      <td>AE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GMT+04:00 Asia/Dubai</td>\n",
       "      <td>54.38</td>\n",
       "      <td>24.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Starbucks</td>\n",
       "      <td>17127-178586</td>\n",
       "      <td>Al Ain Tower</td>\n",
       "      <td>Licensed</td>\n",
       "      <td>Khaldiya Area, Abu Dhabi Island</td>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>AZ</td>\n",
       "      <td>AE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GMT+04:00 Asia/Dubai</td>\n",
       "      <td>54.54</td>\n",
       "      <td>24.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Brand  Store Number        Store Name Ownership Type  \\\n",
       "0  Starbucks  47370-257954     Meritxell, 96       Licensed   \n",
       "1  Starbucks  22331-212325  Ajman Drive Thru       Licensed   \n",
       "2  Starbucks  47089-256771         Dana Mall       Licensed   \n",
       "3  Starbucks  22126-218024        Twofour 54       Licensed   \n",
       "4  Starbucks  17127-178586      Al Ain Tower       Licensed   \n",
       "\n",
       "                    Street Address              City State/Province Country  \\\n",
       "0                Av. Meritxell, 96  Andorra la Vella              7      AD   \n",
       "1             1 Street 69, Al Jarf             Ajman             AJ      AE   \n",
       "2     Sheikh Khalifa Bin Zayed St.             Ajman             AJ      AE   \n",
       "3                  Al Salam Street         Abu Dhabi             AZ      AE   \n",
       "4  Khaldiya Area, Abu Dhabi Island         Abu Dhabi             AZ      AE   \n",
       "\n",
       "  Postcode Phone Number                 Timezone  Longitude  Latitude  \n",
       "0    AD500    376818720  GMT+1:00 Europe/Andorra       1.53     42.51  \n",
       "1      NaN          NaN     GMT+04:00 Asia/Dubai      55.47     25.42  \n",
       "2      NaN          NaN     GMT+04:00 Asia/Dubai      55.47     25.39  \n",
       "3      NaN          NaN     GMT+04:00 Asia/Dubai      54.38     24.48  \n",
       "4      NaN          NaN     GMT+04:00 Asia/Dubai      54.54     24.51  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "starbucks.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "different-essay",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 按照国家分组，求出每个国家的星巴克零售店数量\n",
    "count = starbucks.groupby(['Country']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "rapid-separate",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "count['Brand'].plot(kind='bar', figsize=(20, 8))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "instrumental-capability",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  },
  "nbTranslate": {
   "displayLangs": [
    "*"
   ],
   "hotkey": "alt-t",
   "langInMainMenu": true,
   "sourceLang": "en",
   "targetLang": "fr",
   "useGoogleTranslate": true
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
